{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:D43QNK4GQJTZOUJWMEAKNP2VUH","short_pith_number":"pith:D43QNK4G","canonical_record":{"source":{"id":"2607.29415","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-31T13:38:07Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"cc308b641bedb686d87492edc12def65cdfef48c3c64b3f157b6002998af0b19","abstract_canon_sha256":"a86bf0b9a92c025e346b48aa1d79cb16e00874443df0af176872b499ea16ed19"},"schema_version":"1.0"},"canonical_sha256":"1f3706ab8682679751366100a6bf55a1ec9acec64f59522b98426a749b8c0dab","source":{"kind":"arxiv","id":"2607.29415","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29415","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29415v1","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29415","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"pith_short_12","alias_value":"D43QNK4GQJTZ","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"pith_short_16","alias_value":"D43QNK4GQJTZOUJW","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"pith_short_8","alias_value":"D43QNK4G","created_at":"2026-08-03T01:34:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:D43QNK4GQJTZOUJWMEAKNP2VUH","target":"record","payload":{"canonical_record":{"source":{"id":"2607.29415","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-31T13:38:07Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"cc308b641bedb686d87492edc12def65cdfef48c3c64b3f157b6002998af0b19","abstract_canon_sha256":"a86bf0b9a92c025e346b48aa1d79cb16e00874443df0af176872b499ea16ed19"},"schema_version":"1.0"},"canonical_sha256":"1f3706ab8682679751366100a6bf55a1ec9acec64f59522b98426a749b8c0dab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:34:05.095280Z","signature_b64":"LNekjWEdENLu9nHTVpkT5Uw1jOUzORiWraiD12Y3mxqCZY80hKtlFlNxytLydJrgtSGfUxmlgjATis9Zqiz7Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f3706ab8682679751366100a6bf55a1ec9acec64f59522b98426a749b8c0dab","last_reissued_at":"2026-08-03T01:34:05.093550Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:34:05.093550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.29415","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-03T01:34:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1dhgkIKkEnMn9q6fjgM5I1qfbzJ40iUVEjwFWBeOBdI0CrasLzklV/zD4loTGGFXcq6kTLRfDC15+5iqvDnSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:23:34.526270Z"},"content_sha256":"5fe2d9cc7bae551ee9d3bf98fd4a496f1db9803a2dbd38aa328a1ffd0dcdb087","schema_version":"1.0","event_id":"sha256:5fe2d9cc7bae551ee9d3bf98fd4a496f1db9803a2dbd38aa328a1ffd0dcdb087"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:D43QNK4GQJTZOUJWMEAKNP2VUH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Bot Vulnerability from Posting Trajectories: Censored Functional Regression under Informative Sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Ana-Maria Staicu, Caitrin Murphy, Eric Laber, Jake Koerner, Mihai Nicola, William Rand, Zakaria Babutsidze","submitted_at":"2026-07-31T13:38:07Z","abstract_excerpt":"In this manuscript, we propose a novel framework for Scalar-on Censored Informative-design Functional Regression or SoCIFR. This setting is increasingly common in modern longitudinal and digital data applications but remains underdeveloped in functional data literature. We first discuss estimation and prediction in SoCIFR and extend the methodology to accommodate a matched case-control design. The proposed methodology is further generalized to handle multiple functional predictors, allowing for both censored and uncensored trajectories, observed under informative or non-informative sampling de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29415","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.29415/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-03T01:34:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xFs5Lpv6YwTVYa3RnzcONcnMmZFgrZ8o/i2UE8ZSdylE3XqNGpcPB9RxDYbatdywwTYeAg7M/OdGJrnmvGCpDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:23:34.527115Z"},"content_sha256":"2397d342f3acb50cbc1fec3ddc339c521178d3c4e82311dbf3f29c5ff4788bab","schema_version":"1.0","event_id":"sha256:2397d342f3acb50cbc1fec3ddc339c521178d3c4e82311dbf3f29c5ff4788bab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D43QNK4GQJTZOUJWMEAKNP2VUH/bundle.json","state_url":"https://pith.science/pith/D43QNK4GQJTZOUJWMEAKNP2VUH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D43QNK4GQJTZOUJWMEAKNP2VUH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T11:23:34Z","links":{"resolver":"https://pith.science/pith/D43QNK4GQJTZOUJWMEAKNP2VUH","bundle":"https://pith.science/pith/D43QNK4GQJTZOUJWMEAKNP2VUH/bundle.json","state":"https://pith.science/pith/D43QNK4GQJTZOUJWMEAKNP2VUH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D43QNK4GQJTZOUJWMEAKNP2VUH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:D43QNK4GQJTZOUJWMEAKNP2VUH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a86bf0b9a92c025e346b48aa1d79cb16e00874443df0af176872b499ea16ed19","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-31T13:38:07Z","title_canon_sha256":"cc308b641bedb686d87492edc12def65cdfef48c3c64b3f157b6002998af0b19"},"schema_version":"1.0","source":{"id":"2607.29415","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29415","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29415v1","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29415","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"pith_short_12","alias_value":"D43QNK4GQJTZ","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"pith_short_16","alias_value":"D43QNK4GQJTZOUJW","created_at":"2026-08-03T01:34:05Z"},{"alias_kind":"pith_short_8","alias_value":"D43QNK4G","created_at":"2026-08-03T01:34:05Z"}],"graph_snapshots":[{"event_id":"sha256:2397d342f3acb50cbc1fec3ddc339c521178d3c4e82311dbf3f29c5ff4788bab","target":"graph","created_at":"2026-08-03T01:34:05Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.29415/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this manuscript, we propose a novel framework for Scalar-on Censored Informative-design Functional Regression or SoCIFR. This setting is increasingly common in modern longitudinal and digital data applications but remains underdeveloped in functional data literature. We first discuss estimation and prediction in SoCIFR and extend the methodology to accommodate a matched case-control design. The proposed methodology is further generalized to handle multiple functional predictors, allowing for both censored and uncensored trajectories, observed under informative or non-informative sampling de","authors_text":"Ana-Maria Staicu, Caitrin Murphy, Eric Laber, Jake Koerner, Mihai Nicola, William Rand, Zakaria Babutsidze","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-31T13:38:07Z","title":"Predicting Bot Vulnerability from Posting Trajectories: Censored Functional Regression under Informative Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29415","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:5fe2d9cc7bae551ee9d3bf98fd4a496f1db9803a2dbd38aa328a1ffd0dcdb087","target":"record","created_at":"2026-08-03T01:34:05Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a86bf0b9a92c025e346b48aa1d79cb16e00874443df0af176872b499ea16ed19","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-31T13:38:07Z","title_canon_sha256":"cc308b641bedb686d87492edc12def65cdfef48c3c64b3f157b6002998af0b19"},"schema_version":"1.0","source":{"id":"2607.29415","kind":"arxiv","version":1}},"canonical_sha256":"1f3706ab8682679751366100a6bf55a1ec9acec64f59522b98426a749b8c0dab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f3706ab8682679751366100a6bf55a1ec9acec64f59522b98426a749b8c0dab","first_computed_at":"2026-08-03T01:34:05.093550Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T01:34:05.093550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LNekjWEdENLu9nHTVpkT5Uw1jOUzORiWraiD12Y3mxqCZY80hKtlFlNxytLydJrgtSGfUxmlgjATis9Zqiz7Dg==","signature_status":"signed_v1","signed_at":"2026-08-03T01:34:05.095280Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.29415","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5fe2d9cc7bae551ee9d3bf98fd4a496f1db9803a2dbd38aa328a1ffd0dcdb087","sha256:2397d342f3acb50cbc1fec3ddc339c521178d3c4e82311dbf3f29c5ff4788bab"],"state_sha256":"af05b2f3f5196cd02d35bee28e6986ef4433d95380102cba448cb2eee3696f26"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V8+CjKAZ0f7pF8N2PptURaHmFPlaBdhNnm80qkIITgKROTJi+irht1jcEHO0vpOULP4OwxN5DYoDbVVdICfSAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:23:34.532960Z","bundle_sha256":"470a8680207b5602276864f7b9922026d0866dda2f759af926dc21056c3eab92"}}